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Model: mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF
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---
base_model: Novaciano/EMO_SEX_V2-3.2-1B
datasets:
- HuggingFaceTB/smoltalk
- Guilherme34/uncensor
- teknium/OpenHermes-2.5
- passing2961/multifaceted-skill-of-mind
- PawanKrd/math-gpt-4o-200k
- V3N0M/Jenna-50K-Alpaca-Uncensored
- cognitivecomputations/dolphin-coder
- mlabonne/FineTome-100k
- microsoft/orca-math-word-problems-200k
- CarrotAI/ko-instruction-dataset
- Salesforce/xlam-function-calling-60k
- anthracite-org/kalo-opus-instruct-22k-no-refusal
- anthracite-org/stheno-filtered-v1.1
- anthracite-org/nopm_claude_writing_fixed
- AiAF/SCPWiki-Archive-02-March-2025-Datasets
- huihui-ai/QWQ-LONGCOT-500K
- huihui-ai/LONGCOT-Refine-500K
- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
- alexandreteles/AlpacaToxicQA_ShareGPT
- Nitral-AI/Active_RP-ShareGPT
- PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT
- Nitral-AI/RP_Alignment-ShareGPT
- Chaser-cz/sonnet35-charcard-roleplay-sharegpt
- AiCloser/sharegpt_cot_dataset
- PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT
- priveeai/pippa_sharegpt
- Locutusque/sharegpt_gpt4_uncensored_cleaned
- OpenCoder-LLM/opc-sft-stage1
- OpenCoder-LLM/opc-sft-stage2
- microsoft/orca-agentinstruct-1M-v1
- NousResearch/hermes-function-calling-v1
- AI-MO/NuminaMath-CoT
- AI-MO/NuminaMath-TIR
- allenai/tulu-3-sft-mixture
- cognitivecomputations/samantha-data
- m-a-p/CodeFeedback-Filtered-Instruction
- m-a-p/Code-Feedback
- FreedomIntelligence/medical-o1-reasoning-SFT
language:
- es
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- mergekit
- merge
- rp
- roleplay
- gguf
- 1b
- 4-bit
- nsfw
- uncensored
- sillytavern
- koboldcpp
- not-for-all-audiences
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
weighted/imatrix quants of https://huggingface.co/Novaciano/EMO_SEX_V2-3.2-1B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#EMO_SEX_V2-3.2-1B-i1-GGUF).***
static quants are available at https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-IQ1_S.gguf) | i1-IQ1_S | 0.6 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.6 | |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.7 | very low quality |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.9 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-IQ3_S.gguf) | i1-IQ3_S | 0.9 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-IQ3_M.gguf) | i1-IQ3_M | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.9 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 0.9 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.0 | prefer IQ4_XS |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-Q4_1.gguf) | i1-Q4_1 | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 | |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 | |
| [GGUF](https://huggingface.co/mradermacher/EMO_SEX_V2-3.2-1B-i1-GGUF/resolve/main/EMO_SEX_V2-3.2-1B.i1-Q6_K.gguf) | i1-Q6_K | 1.3 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
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